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[null,"1.","Record Nr.",null,"UNINA9910823865003321"]
[null,null,"Autore",null,"Cordoba Alberto <1958->"]
[null,null,"Titolo",null,"Understanding the predictive analytics lifecycle / / Alberto Cordoba"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, New Jersey : , : Wiley, , 2014"]
[{"$nulls":4},"©2014"]
[null,null,"ISBN",null,"1-118-93893-3"]
[{"$nulls":4},"1-118-93674-4"]
[null,null,"Edizione",null,"[1st edition]"]
[null,null,"Descrizione fisica",null,"1 online resource (240 pages)"]
[null,null,"Collana",null,"Wiley & SAS Business Series"]
[null,null,"Classificazione",null,"BUS019000"]
[null,null,"Disciplina",null,"658.4/013"]
[null,null,"Soggetti",null,"Decision making - Statistical methods"]
[{"$nulls":4},"Forecasting - Mathematical models"]
[{"$nulls":4},"Business planning"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Machine generated contents note:  Foreword Preface Acknowledgments Chapter 1 Problem Identification and Definition Importance of Clear Business Objectives Office Politics Note Chapter 2 Design and Build The Managing Phase The Planning Phase The Delivery Phase Notes Chapter 3 Data Acquisition Data: the Fuel for Analytics A Data Scientist's Job Notes Chapter 4 Exploration and Reporting Visualization Cloud Reporting Chapter 5 Modeling Churn Model Risk Scoring Model Notes Chapter 6 Actionable Analytics Digital Asset Management Social Media Chapter 7 Feedback What the Different Software Components Should Do Note Conclusion Appendix: Useful Questions Bibliography About the Author Index ."]
[null,null,null,"Sommario/riassunto","\"A high-level, informal look at the different stages of the predictive analytics cycleUnderstanding the Predictive Analytics Lifecycle covers each phase of the development of a predictive analytics initiative. Through the use of illuminating case studies across a range of industries that include banking, megaresorts, mobile operators, healthcare, manufacturing, and retail, the book successfully illustrates each phase of the predictive analytics cycle to create a playbook for future projects.Predictive business analytics involves a wide variety of inputs that include individuals' skills, technologies, tools, and processes. To create a successful analytics program or project to gain forward-looking insight into making business decisions and actions, all of these factors must properly align. The book focuses on developing "]
[{"$nulls":4},"new insights and understanding business performance based on extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management as input for human decisions. The book includes:  An overview of all relevant phases: design, prepare, explore, model, communicate, and measure  Coverage of the stages of the predictive analytics cycle across different industries and countries  A chapter dedicated to each of the phases of the development of a predictive initiative  A comprehensive overview of the entire analytic process lifecycle  If you're an executive looking to understand the predictive analytics lifecycle, this is a must-read resource and reference guide\"--"]
[{"$nulls":4},"\"Covers each phase of the development of a predictive analytics initiative. Through the use of case studies across a range of industries that include banking, megaresorts, mobile operators, healthcare, manufacturing, and retail, the book illustrates each phase of the predictive analytics cycle to create a playbook for future projects\"--"]